Fighting Financial Fraud in Real Time with AI: Lessons from PayPal, Barclays, and TransUnion

As financial fraud becomes faster, more adaptive, and harder to detect, financial institutions are rethinking how they build and scale machine learning systems for real-time fraud detection. Achieving this requires not just smarter models—but the right data infrastructure to power them.

In this session, we’ll explore how PayPal, Barclays, and TransUnion built AI-driven fraud detection systems that can process thousands of signals across transactions, customer history, and behavioral patterns—in milliseconds. Learn how they achieved a 30x reduction in fraud exposure and cut infrastructure costs by up to 80%.

Whether you’re building fraud models, scaling real-time ML inference or rolling out generative or agentic AI projects for improving fraud detection, this session will equip you with practical guidance to elevate your fraud detection systems.